Cervical Cancer Cell Image Database: Multi-focus Cytology Dataset (CCCID)

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Authors: Eiji Ohno, Setsuyo Ohno, Tomoyuki Miyamoto, Hiromasa Yakushiji, Yukihiko Osawa, Takafumi Onishi, Makoto Nishimori, Kazuki Shibahara
Cited by: 1

Abstract

This dataset contains cervical cytology cell images classified into four diagnostic categories according to the Bethesda System: NILM (Negative for Intraepithelial Lesion or Malignancy), LSIL (Low-grade Squamous Intraepithelial Lesion), HSIL (High-grade Squamous Intraepithelial Lesion), and SCC/others (Squamous Cell Carcinoma and other malignancies). The images were obtained from Papanicolaou-stained cervical cytology specimens and digitized using a slide scanner. Each cell image is provided as an 11-layer multi-focus image stack with a focus interval of 1 μm. This database was developed as part of the JST-CREST research project "Construction of an Innovative Cancer Diagnosis Support System Using 3D Image Recognition AI" and organized by the Cervical Cancer Cell Image Database Project (CCCID-Project).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 March 2026
Language
EN
Document type
Dataset